@article{ref1,
title="Dataset construction from naturalistic driving in roundabouts",
journal="Sensors (Basel)",
year="2020",
author="García Cuenca, Laura and Guindel, Carlos and Aliane, Nourdine and Armingol, José María and Fernandez Andrés, Javier",
volume="20",
number="24",
pages="e7151-e7151",
abstract="A proper driver characterization in complex environments using computational techniques depends on the richness and variety of data obtained from naturalistic driving. The present article proposes the construction of a dataset from naturalistic driving specific to maneuvers in roundabouts and makes it open and available to the scientific community for performing their own studies. The dataset is a combination of data gathered from on-board instrumentation and data obtained from the post-processing of maps as well as recorded videos. The approach proposed in this paper consists of handling roundabouts as a stretch of road that includes 100 m before the entrance, the internal part, and 100 m after the exit. This stretch of road is then spatially sampled in small sections to which data are associated.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s20247151",
url="http://dx.doi.org/10.3390/s20247151"
}